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Street-Level Bureaucracy and E-Government

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  • Aurélien Buffat

Abstract

With the intensive use of information and communication technologies, governments are transforming into e-governments. While public management research has given increased attention to this subject lately, this article reviews the limited literature that deals with the impacts of e-government technologies on street-level bureaucracies. A twofold argument is being developed. First, what can be called the 'curtailment thesis', stressing the reduction or disappearance of frontline policy discretion, is addressed. Second, the 'enablement thesis' gets attention, highlighting how technologies provide frontline workers and citizens with additional action resources. The article concludes with propositions for a future research agenda on the topic.

Suggested Citation

  • Aurélien Buffat, 2015. "Street-Level Bureaucracy and E-Government," Public Management Review, Taylor & Francis Journals, vol. 17(1), pages 149-161, January.
    • Handle: RePEc:taf:pubmgr:v:17:y:2015:i:1:p:149-161
    DOI: 10.1080/14719037.2013.771699
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    Cited by:

    1. Amit Das & Shobha S. Das, 2022. "E-Government and Entrepreneurship: Online Government Services and the Ease of Starting Business," Information Systems Frontiers, Springer, vol. 24(3), pages 1027-1039, June.
    2. Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018. "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv 8kvf4, Center for Open Science.
    3. L. A. Pavithra Madhuwanthi & Aruna Muthulingam, 2020. "Digitalization of Public Service Delivery: A Case of Immigration and Emigration Department of Sri Lanka," Asian Journal of Social Sciences and Management Studies, Asian Online Journal Publishing Group, vol. 7(4), pages 295-300.
    4. Huiying Zhang & Zijian Zhu, 2024. "Mobile Government Service Promotion Strategies: Exploring Sustainable Development Pathways Based on Provincial Government Practices in China," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    5. Plantinga, Paul, 2022. "Digital discretion and public administration in Africa: Implications for the use of artificial intelligence," SocArXiv 2r98w, Center for Open Science.
    6. Veale, Michael, 2017. "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv 6cdhe, Center for Open Science.

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